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backlog-refinementlisted

Refine raw ideas and backlog items into decision-complete, actionable work and decide whether they need discovery, an Epic, implementation slices, or human gates.
singleton-sd/ai-plattform-skills · ★ 0 · AI & Automation · score 68
Install: claude install-skill singleton-sd/ai-plattform-skills
# Backlog Refinement Use this skill to turn a rough idea, transcript, feature request, bug, or existing ticket into work that can be executed without hidden product decisions. For multi-ticket feature planning, also apply `idea-to-delivery`. ## First decide the shape - Tiny isolated change: one implementation task. - Medium feature: Epic/initiative + roughly 2–5 implementation tasks. - Large/cross-cutting or materially uncertain work: discovery/design first, then Epic + implementation slices. - Manual requirement: explicit human-operation task rather than an implementation task an agent cannot finish. Default slicing rule: one independently mergeable PR is usually one implementation task. ## Refined item format ```text Title: <concise action-oriented title> Area: <project-defined technical/product surface> Pillar: <project-defined domain capability or None> Work Type: Feature | Bug | Technical Debt | Discovery | Infrastructure | Documentation | Human Action Execution: AI | Human | AI + Human Parent Epic: <title/link or None> Goal: <observable outcome> User story (optional): As a [persona], I want [action] so that [outcome]. Context: <why this matters> Scope: - <included work> Acceptance criteria: - [ ] <specific testable condition> Technical direction: - <constraints, patterns, likely repo paths when known> Preview / seed scenarios: - <how user-facing behavior or a bug is demonstrated when applicable> Testing: - <automated expectations> - <human validation exp